There are a great number of uncertainties in the process of dealing with multi-objective fuzzy decision-making, and vague set has great advantages on dealing with uncertainty. By analyzing the characters of trace function and precision function and their disadvantages that it was sometime difficult in determining which scheme was better, a new multi-objective fuzzy decision-making algorithm, based on the unknown degree and uncertainty degree of vague sets, is given in this paper which was used to solve the problem of the Third Part Logistics Providers Preference. The final result of decision-making verified the efficiency and feasibility of the algorithm. The new algorithm used existent methods for reference, at the same time overcomes their disadvantages. The new algorithm was proved reasonable in this paper and was applied into searching optimal scheme, and the result showed that it was effective and feasible. This paper introduces a new effective decision-making method to solve multi-objective fuzzy decision-making problem, at the same time it broadened a new thought for vague set applied on other fields.


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    Titel :

    A New Vague Set Algorithm Applied on the Third Part Logistics Provider Preference


    Beteiligte:
    Li, T. Y. (Autor:in) / Chen, Y. (Autor:in)

    Kongress:

    First International Conference on Transportation Engineering ; 2007 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    2007-07-09




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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